Software effort estimation as a multiobjective learning problem
نویسندگان
چکیده
منابع مشابه
A Software Effort Estimation as a Multi-objective Learning Problem
Ensembles of learning machines are promising for software effort estimation (SEE), but need to be tailored for this task to have their potential exploited. A key issue when creating ensembles is to produce diverse and accurate base models. Depending on how differently different performance measures behave for SEE, they could be used as a natural way of creating SEE ensembles. We propose to view...
متن کاملAn Improved Algorithmic Method for Software Development Effort Estimation
Accurate estimating is one of the most important activities in the field of software project management. Different aspects of software projects must be estimated among which time and effort are of significant importance to efficient project planning. Due to complexity of software projects and lack of information at the early stages of project, reliable effort estimation is a challenging issue. ...
متن کاملAn Improved Algorithmic Method for Software Development Effort Estimation
Accurate estimating is one of the most important activities in the field of software project management. Different aspects of software projects must be estimated among which time and effort are of significant importance to efficient project planning. Due to complexity of software projects and lack of information at the early stages of project, reliable effort estimation is a challenging issue. ...
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Software effort estimation is an aspect of software engineering involving evaluation of numerous different changing factors related to the creation of a system. Historically, estimation methods have relied on construction cost models (COCOMO) and function point analysis (FPA) to deliver accurate estimation values. We explored recently published works from 2016, describing the incorporation of m...
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In this study we aimed to draw a big comparative picture of the state of the art machine learning approaches for the software effort estimation problem. For this purpose, several datasets which were obtained from Promise data repository were used for testing various machine learning techniques. The results showed that, decision trees or rule induction based classifiers (i.e. M5P trees) gave par...
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ژورنال
عنوان ژورنال: ACM Transactions on Software Engineering and Methodology
سال: 2013
ISSN: 1049-331X,1557-7392
DOI: 10.1145/2522920.2522928